Implement RAG summarization and context pipeline

- Add ContextPipeline for async RAG lookups
- Implement RAG result summarization via LLMProcessor
- Add CLI flag for PDF ingestion
- Strip markdown code blocks from LLM responses
- Update TUI context display to use ListItems

src/llm/processor.py

@@ -87,7 +87,17 @@ class LLMProcessor:
                 response_format=response_format,
                 extra_body={"enable_thinking": False},
             )
-            return response.choices[0].message.content
+            content = response.choices[0].message.content
+
+            # Strip markdown code blocks if present
+            if content.startswith("```"):
+                import re
+
+                content = re.sub(
+                    r"^```(?:json)?\n?|```$", "", content, flags=re.MULTILINE
+                ).strip()
+
+            return content
         except Exception as e:
             logger.error(f"LLM Error: {e}")
             return ""